Week 1

Activities

• Completed DataCamp assessments of R programming.
  

• Watched GitHub tutorial on version control and collaboration.
  

• Read Analyzing US Census Data by Kyle Walker.
  

• Did exploratory analysis and visualization on M&M Candy data set with newly gained skills.
  

• Learned census analysis using tidycensus instructed in workshops, and did an exercise to find the county in Iowa with the lowest median household income based on the 2020 American Community Survey.
  

var <- load_variables(2020, "acs5", cache = TRUE)
# View(var)

ia <- get_acs(
  geography = "county",
  variables = c(medincome = "B19013_001"),
  state = "IA",
  year = 2020
)

iaRearranged <- ia %>%
  arrange(estimate) %>%
  head(5)

iaRearranged$NAME[iaRearranged$estimate == max(iaRearranged$estimate)]

## [1] "Decatur County, Iowa"

Skills Acquisition

Introduction to Tableau

ggmap Visualizing Geospatial Data in R

leaflet Interactive Maps with leaflet in R

plotly Interactive Data Visualization with plotly in R

tidycensuce

tigris

Bookmarks

RStudio Cheatsheets

Census API Key

remarkjs

Indicators

Week 2

Activities

Skills Acquisition

Bookmarks